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48,453 grants matching “machine learning”
Machine Learning Guided Biophysical Model Development of Amino Acid and tRNA Effects on Translation-Elongation Speed
$749,999Edward P O'Brien · Pennsylvania State Univ University Park · · FY2021 · BIO
SBIR Phase II: A Dynamic Real-Time Analytics Recruiting Platform
$749,999Carlo Martinez · Steppingblocks, Inc. · · FY2019 · TIP
SWIFT: Instantaneous Feedback-based Adaptive Communications and Networks
$749,999Hun-Seok Kim · Regents Of The University Of Michigan - Ann Arbor · · FY2022 · ENG
NRI: FND: Robust Grasping by Integrating Machine Learning with Physical Models
$749,998Robert D Howe · Harvard University · · FY2019 · CSE
Phase I IUCRC University of Oregon: Center for Big Learning
$749,998Thien H Nguyen · University Of Oregon Eugene · · FY2018 · CSE
Collaborative Research: CSR: Medium: Towards A Unified Memory-centric Computing System with Cross-layer Support
$749,998Xian-He Sun · Illinois Institute Of Technology · · FY2023 · CSE
CONSOLIDATED PHYSICS-DRIVEN MACHINE LEARNING STRATEGIES TO ADVANCE PHASE-CHANGE THERMAL MANAGEMENT SYSTEMS
$749,998Case Western Reserve University · · FY2024 · Department of the Navy
Enhance human ENCODE by function comparisons to mouse
$749,997Ross C Hardison · Pennsylvania State University, The · RC2 · FY2010 · HG
SWIFT-SAT: Network Adaptation Based on Physics-Inspired Learning Framework for Radio Coexistence of Terrestrial and Satellite Information Systems
$749,997Zhi Ding · University Of California-Davis · · FY2023 · CSE
NSF Convergence Accelerator Track H: Automating Transportation Affordances for People Living with Disabilities Using a Machine Learning Approach
$749,996Brent C Chamberlain · Utah State University · · FY2022 · TIP
NSF Convergence Accelerator Track G: SONIC: Securely Operate through 5G Networks with Informed Control
$749,995Jacobus Van Der Merwe · University Of Utah · · FY2022 · TIP
CE24-013 - Community-based evaluation of a novel, system-wide harm reduction strategic plan for people experiencing homelessness in New York City
$749,992Bennett Allen · New York University School Of Medicine · R01 · FY2025 · CE
Enhance human ENCODE by function comparisons to mouse
$749,992Ross C Hardison · Pennsylvania State University, The · RC2 · FY2011 · HG
** AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** ARABLE LAND PER PERSON IS PROJECTED TO DECREASE BY TWO-THIRDS OF THE CURRENT AVAILABLE CAPACITY BY 2050. THIS DRASTIC REDUCTION IS ASSOCIATED WITH CLIMATE CHANGE, REDUCTION IN FRESHWATER SUPPLY, AND POPULATION GROWTH. SMART AGRICULTURE (SA) HAS PROVEN TO BE HIGHLY PRODUCTIVE, WATER AND LAND-EFFICIENT, AND PROTECTIVE OF THE ENVIRONMENT. THUS, IT MAY PLAY A CRUCIAL ROLE IN CLIMATE-RESILIENT FOOD PRODUCTION. SA REQUIRES AN AGRICULTURAL WORKFORCE THAT HAS THE KNOWLEDGE AND SKILLS TO USE ADVANCED AGRICULTURAL TECHNOLOGIES, WHICH NECESSITATES RECRUITMENT AND TRAINING PROGRAMS TO ENSURE A TECH-SAVVY FUTURE WORKFORCE. TO ADDRESS THAT, THIS PROJECT PROPOSES A SAINFORMAL EXPERIENTIAL LEARNING (EL) PROGRAM TO I) EXPOSE AND ATTRACT YOUTH TO SMART AGRICULTURE, II) PROVIDE HANDS-ON EL ON SA, AND III) ALIGN INDUSTRY AND ACADEMIC PARTNERSHIPS.HERE, WE PROPOSE A MODULAR EXPERIENTIAL LEARNING PROGRAM WITH FOUR MODULES: INDOOR/OUTDOOR FARMING, SENSORS (IOT) AND SENSOR NETWORKS, DATA COLLECTION AND PROCESSING, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE. EACH MODULE WILL BE PRACTICED FOLLOWING EXPERIENTIAL LEARNING ACTIVITIES (I.E., ELA 1 TO 4), STARTING BY HAVING A SEMINAR EXPLAINING THE UNDERLYING CONCEPTS AND FUNDAMENTALS ALONG WITH A GUEST SPEAKER HIGHLIGHTING THE IMPORTANCE OF THESE TOPICS (ELA1), FOLLOWED BY COURSE-BASED PROBLEM-SOLVING AND TRAINING IN CLASS (ELA2), FOLLOWED BY REALISTIC HANDS-ON TRAINING (ELA3), OUTDOORS TO PRACTICE WHAT WAS COVERED IN CLASS, AND FINISHED BY INDUSTRY WORKSITE VISITS (ELA4) TO OBSERVE LARGE SCALE PRACTICE OF THE COVERED CONCEPTS. THIS PROJECT WILL FAMILIARIZE 200 MICHIGAN MIDDLE AND HIGH SCHOOL STUDENTS WITH DATA SCIENCE AND ARTIFICIAL INTELLIGENCE IN AGRICULTURE.
$749,991Wayne State University · · FY2024 · National Institute of Food and Agriculture
Thinking About, and Interacting with Living and Mechanical Agents
$749,991Daniel Levin · Vanderbilt University · · FY2008 · SBE
RI-Large: Activity Learning and Recognition for a Cognitive Assistant
$749,988Henry A Kautz · University Of Rochester · · FY2010 · CSE
SenSE: Closed-loop Artificial Pancreas with Noninvasive Monitoring of Glucose and Diet
$749,987Xia Zhou · Dartmouth College · · FY2020 · ENG
Automated Collaboration Assessment Using Behavioral Analytics
$749,976Nonye M Alozie · Sri International · · FY2020 · CSE
Collaborative Research: CPS: Medium: A3EM: Animal-borne Adaptive Acoustic Environmental Monitoring
$749,976Akos Ledeczi · Vanderbilt University · · FY2023 · CSE
FMitF: Track I: Flexible Data Plane Programming
$749,972Xiaokang Qiu · Purdue University · · FY2023 · CSE
NRI: FND: Barriers and Solutions for Small and Medium Sized Manufacturers Collaborative Robot Adoption
$749,958Nancey Green Leigh · Georgia Tech Research Corporation · · FY2020 · SBE
A Multiwell Plate Format Microfluidic Immobilization Chip for High-Content Imaging of Whole Animals for in vivoNeurotoxicology Testing
$749,956Evan Hegarty · Vivoverse, Llc · R44 · FY2021 · MH
SBIR Phase II: Human agent prediction for autonomous vehicles
$749,955Samuel E Anthony · Perceptive Automata, Inc. · · FY2017 · TIP
IHBEM: Modeling the influence of individual and network behavior on HIV/HCV transmission dynamics
$749,953Sunil S Solomon · Johns Hopkins University · · FY2023 · MPS
**AWARDS ISSUED PRIOR TO JANUARY 20, 2025, WERE FUNDED UNDER PREVIOUS ADMINISTRATIONS AND MAY NOT REFLECT THE PRIORITIES AND POLICIES OF THE CURRENT ADMINISTRATION.** COVER CROPS ARE ACTIVELY PROMOTED AS A MEANS OF ENHANCING SOIL FERTILITY AND SOIL HEALTH WHILE IMPROVING CASH CROPS' PRODUCTIVITY AND REDUCING GHG EMISSIONS. ALTHOUGH FARMERS ARE GENERALLY INTERESTED IN ADOPTING COVER CROPS, THEIR INTEREST IS TEMPERED BY THEIR CONCERNS ABOUT YIELD LIMITATIONS TO CASH CROPS. STAKEHOLDERS ARE CALLING FOR RESEARCH TO BETTER UNDERSTAND THE FACTORS THAT CONTRIBUTE TO YIELD DECLINES FOLLOWING COVER CROPS AND SUBSEQUENT MANAGEMENT STRATEGIES THAT ADDRESS THE YIELD GAP AND OVERCOME CONSTRAINTS TO ADOPTION IN THE WESTERN LAKE ERIE BASIN. THE GOAL OF THIS PROJECT IS TO DETERMINE THE EXTENT TO WHICH COVER CROPS IMPACT CROP YIELD, SOIL HEALTH, AND GHG EMISSIONS AT THE FIELD AND WATERSHED SCALES. OUR OBJECTIVES ARE TO (1) IDENTIFY MANAGEMENT PRACTICES AND BIOPHYSICAL CONDITIONS THAT EXPLAIN COVER CROP BIOMASS PRODUCTION AND VARIABILITY, AND ITS IMPACT ON SOIL HEALTH AND NUTRIENT CYCLING IN FARMERS' FIELDS, (2) QUANTIFY WITHIN-FIELD VARIABILITY IN COVER CROP BIOMASS AND CASH CROP YIELDS BY DEVELOPING ROBUST MACHINE LEARNING MODELS WITH REMOTE SENSING DATA, (3) DEVELOP A BIOGEOCHEMICAL MODEL TO PROJECT COVER CROP EFFECTS ON CASH CROP YIELD, CARBON SEQUESTRATION, AND GHG EMISSIONS AT THE WATERSHED SCALE, AND (4) CREATE AN EXTENSION CURRICULUM TO TRAIN FARMERS AND STAKEHOLDERS ABOUT THE BEST MANAGEMENT PRACTICES FOR COVER CROPPING BASED ON STUDY OUTCOMES.
$749,939Ohio State University, The · · FY2023 · National Institute of Food and Agriculture